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Vantagens oferecidas por esta oferta de emprego
Health Insurance
Flexible Working
Great Equipment & Tools
Extra Days Off
Resumo da oferta
Synvert is seeking an experienced engineer with a focus on AI and ML-driven features to join their team in Leiria, Portugal. You should have at least 5 years of experience in building production software systems, including 2 years on AI projects. The role offers access to the latest AI models and tools, an agile company culture, and flexible working arrangements. Additional benefits include health insurance, great equipment, and extra days off.
Qualificações
5+ years of experience in building production software systems.
At least 2 years working on AI or ML-driven features.
Strong engineering fundamentals with Python and/or TypeScript/Node.js.
Responsabilidades
Access to frontier AI as part of daily work.
Collaborate with a team that experiments and shares.
Participate in an agile company culture with flexible working.
Conhecimentos
AI and ML-driven features
Python
TypeScript/Node.js
Leadership in technical decisions
Pragmatic problem solving
Mentoring engineers on AI system design
Descrição da oferta de emprego
Qualifications
5+ years of experience building production software systems, with at least 2 years working on AI or ML-driven features in production.
Deep understanding of modern AI concepts: LLMs, embeddings, retrieval systems, agentic design patterns, evaluation frameworks, and observability for AI systems.
Strong engineering fundamentals (Python and/or TypeScript/Node.js) and a track record of building reliable, scalable backend services.
Demonstrated ability to lead technical decisions (architecture, trade-offs, technology selection) and communicate them clearly across engineering and product.
Experience designing and owning systems under real‑world constraints: performance, cost, reliability, and long‑term maintainability.
Ability to take ambiguous, open‑ended problems and drive them to well‑scoped, shippable solutions with minimal direction.
High agency: you operate autonomously, make decisions, and flag clearly when you need input.
Defaults to asking "can an agent or model handle this?" before reaching for a traditional approach, and knows when the answer is no.
Pragmatic over perfectionist: you know when "good enough in production" beats "perfect in theory," and when it doesn't.
Low ego, high standards: you hold the bar without holding the room hostage.
Nice-to-Have
Has shipped real products using AI‑assisted coding workflows and can speak concretely to what changed in their engineering process.
Has designed and operated LLM evaluation harnesses, red‑team pipelines, or output regression frameworks at scale.
Active user of (or contributor to) the emerging AI tooling ecosystem: MCP, agent protocols, model routers, LLMOps tooling.
Experience with the full prompt engineering lifecycle in production: versioning, A/B testing outputs, and monitoring for drift.
Has rebuilt an internal workflow or tool they previously did manually by replacing it with an agentic system, and can describe what they learned.
Comfortable reading frontier AI research and forming opinions on what's worth adopting versus what's hype.
Experience mentoring or technically guiding other engineers on AI system design.
What you can expect
Access to frontier AI as part of your daily work: latest models and tooling available without an approval gauntlet. We expect you to use them.
A team that already works this way. You won't be the only one rethinking how engineering gets done. The engineers around you are experimenting, sharing, and raising the bar together.
Agile Company Culture and the Best Team – Global Projects & Opportunities, Social Events & Team Building, Continuous Development, Training & Development, Growth Opportunities.
Flexible Working – Remote Friendly Culture.
Other Benefits – Great Equipment & Tools, Flexible Benefits, Extra Days Off, Health Insurance.
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